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            <article class="content wrap" id="_content" data-uid="Keras.Layers.Conv2DTranspose">
  
  
  <h1 id="Keras_Layers_Conv2DTranspose" data-uid="Keras.Layers.Conv2DTranspose" class="text-break">Class Conv2DTranspose
  </h1>
  <div class="markdown level0 summary"><p>Transposed convolution layer (sometimes called Deconvolution).
The need for transposed convolutions generally arises from the desire to use a transformation going in the opposite direction of a normal convolution, i.e., from something that has the shape of the output of some convolution to something that has the shape of its input while maintaining a connectivity pattern that is compatible with said convolution.
When using this layer as the first layer in a model, provide the keyword argument input_shape (tuple of integers, does not include the batch axis), e.g. input_shape=(128, 128, 3) for 128x128 RGB pictures in data_format=&quot;channels_last&quot;.</p>
</div>
  <div class="markdown level0 conceptual"></div>
  <div class="inheritance">
    <h5>Inheritance</h5>
    <div class="level0"><span class="xref">System.Object</span></div>
    <div class="level1"><a class="xref" href="Keras.Keras.html">Keras</a></div>
    <div class="level2"><a class="xref" href="Keras.Base.html">Base</a></div>
    <div class="level3"><a class="xref" href="Keras.Layers.BaseLayer.html">BaseLayer</a></div>
    <div class="level4"><span class="xref">Conv2DTranspose</span></div>
  </div>
  <div classs="implements">
    <h5>Implements</h5>
    <div><span class="xref">System.IDisposable</span></div>
  </div>
  <div class="inheritedMembers">
    <h5>Inherited Members</h5>
    <div>
      <a class="xref" href="Keras.Layers.BaseLayer.html#Keras_Layers_BaseLayer_Set_Keras_Layers_BaseLayer___">BaseLayer.Set(BaseLayer[])</a>
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      <a class="xref" href="Keras.Base.html#Keras_Base_Parameters">Base.Parameters</a>
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      <a class="xref" href="Keras.Base.html#Keras_Base_None">Base.None</a>
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      <a class="xref" href="Keras.Base.html#Keras_Base_Init">Base.Init()</a>
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    <div>
      <a class="xref" href="Keras.Base.html#Keras_Base_ToPython">Base.ToPython()</a>
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    <div>
      <a class="xref" href="Keras.Base.html#Keras_Base_InvokeStaticMethod_System_Object_System_String_System_Collections_Generic_Dictionary_System_String_System_Object__">Base.InvokeStaticMethod(Object, String, Dictionary&lt;String, Object&gt;)</a>
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    <div>
      <a class="xref" href="Keras.Base.html#Keras_Base_InvokeMethod_System_String_System_Collections_Generic_Dictionary_System_String_System_Object__">Base.InvokeMethod(String, Dictionary&lt;String, Object&gt;)</a>
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      <a class="xref" href="Keras.Base.html#Keras_Base_Item_System_String_">Base.Item[String]</a>
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      <a class="xref" href="Keras.Keras.html#Keras_Keras_Instance">Keras.Instance</a>
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      <a class="xref" href="Keras.Keras.html#Keras_Keras_keras2onnx">Keras.keras2onnx</a>
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      <a class="xref" href="Keras.Keras.html#Keras_Keras_tfjs">Keras.tfjs</a>
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      <a class="xref" href="Keras.Keras.html#Keras_Keras_Dispose">Keras.Dispose()</a>
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      <a class="xref" href="Keras.Keras.html#Keras_Keras_ToTuple_System_Array_">Keras.ToTuple(Array)</a>
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      <a class="xref" href="Keras.Keras.html#Keras_Keras_ToList_System_Array_">Keras.ToList(Array)</a>
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    <div>
      <span class="xref">System.Object.Equals(System.Object)</span>
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      <span class="xref">System.Object.Equals(System.Object, System.Object)</span>
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      <span class="xref">System.Object.GetHashCode()</span>
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      <span class="xref">System.Object.GetType()</span>
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      <span class="xref">System.Object.MemberwiseClone()</span>
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      <span class="xref">System.Object.ReferenceEquals(System.Object, System.Object)</span>
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    <div>
      <span class="xref">System.Object.ToString()</span>
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  </div>
  <h6><strong>Namespace</strong>: <a class="xref" href="Keras.Layers.html">Keras.Layers</a></h6>
  <h6><strong>Assembly</strong>: Keras.dll</h6>
  <h5 id="Keras_Layers_Conv2DTranspose_syntax">Syntax</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public class Conv2DTranspose : BaseLayer, IDisposable</code></pre>
  </div>
  <h3 id="constructors">Constructors
  </h3>
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    <a href="https://github.com/SciSharp/Keras.NET/new/master/apiSpec/new?filename=Keras_Layers_Conv2DTranspose__ctor_System_Int32_System_Tuple_System_Int32_System_Int32__System_Tuple_System_Int32_System_Int32__System_String_System_Tuple_System_Int32_System_Int32__System_String_System_Tuple_System_Int32_System_Int32__System_String_System_Boolean_System_String_System_String_System_String_System_String_System_String_System_String_System_String_Keras_Shape_.md&amp;value=---%0Auid%3A%20Keras.Layers.Conv2DTranspose.%23ctor(System.Int32%2CSystem.Tuple%7BSystem.Int32%2CSystem.Int32%7D%2CSystem.Tuple%7BSystem.Int32%2CSystem.Int32%7D%2CSystem.String%2CSystem.Tuple%7BSystem.Int32%2CSystem.Int32%7D%2CSystem.String%2CSystem.Tuple%7BSystem.Int32%2CSystem.Int32%7D%2CSystem.String%2CSystem.Boolean%2CSystem.String%2CSystem.String%2CSystem.String%2CSystem.String%2CSystem.String%2CSystem.String%2CSystem.String%2CKeras.Shape)%0Asummary%3A%20'*You%20can%20override%20summary%20for%20the%20API%20here%20using%20*MARKDOWN*%20syntax'%0A---%0A%0A*Please%20type%20below%20more%20information%20about%20this%20API%3A*%0A%0A">Improve this Doc</a>
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    <a href="https://github.com/SciSharp/Keras.NET/blob/master/Keras/Layers/Convolution.cs/#L381">View Source</a>
  </span>
  <a id="Keras_Layers_Conv2DTranspose__ctor_" data-uid="Keras.Layers.Conv2DTranspose.#ctor*"></a>
  <h4 id="Keras_Layers_Conv2DTranspose__ctor_System_Int32_System_Tuple_System_Int32_System_Int32__System_Tuple_System_Int32_System_Int32__System_String_System_Tuple_System_Int32_System_Int32__System_String_System_Tuple_System_Int32_System_Int32__System_String_System_Boolean_System_String_System_String_System_String_System_String_System_String_System_String_System_String_Keras_Shape_" data-uid="Keras.Layers.Conv2DTranspose.#ctor(System.Int32,System.Tuple{System.Int32,System.Int32},System.Tuple{System.Int32,System.Int32},System.String,System.Tuple{System.Int32,System.Int32},System.String,System.Tuple{System.Int32,System.Int32},System.String,System.Boolean,System.String,System.String,System.String,System.String,System.String,System.String,System.String,Keras.Shape)">Conv2DTranspose(Int32, Tuple&lt;Int32, Int32&gt;, Tuple&lt;Int32, Int32&gt;, String, Tuple&lt;Int32, Int32&gt;, String, Tuple&lt;Int32, Int32&gt;, String, Boolean, String, String, String, String, String, String, String, Shape)</h4>
  <div class="markdown level1 summary"><p>Initializes a new instance of the <a class="xref" href="Keras.Layers.Conv2DTranspose.html">Conv2DTranspose</a> class.</p>
</div>
  <div class="markdown level1 conceptual"></div>
  <h5 class="decalaration">Declaration</h5>
  <div class="codewrapper">
    <pre><code class="lang-csharp hljs">public Conv2DTranspose(int filters, Tuple&lt;int, int&gt; kernel_size, Tuple&lt;int, int&gt; strides = null, string padding = &quot;valid&quot;, Tuple&lt;int, int&gt; output_padding = null, string data_format = &quot;channels_last&quot;, Tuple&lt;int, int&gt; dilation_rate = null, string activation = &quot;&quot;, bool use_bias = true, string kernel_initializer = &quot;glorot_uniform&quot;, string bias_initializer = &quot;zeros&quot;, string kernel_regularizer = &quot;&quot;, string bias_regularizer = &quot;&quot;, string activity_regularizer = &quot;&quot;, string kernel_constraint = &quot;&quot;, string bias_constraint = &quot;&quot;, Shape input_shape = null)</code></pre>
  </div>
  <h5 class="parameters">Parameters</h5>
  <table class="table table-bordered table-striped table-condensed">
    <thead>
      <tr>
        <th>Type</th>
        <th>Name</th>
        <th>Description</th>
      </tr>
    </thead>
    <tbody>
      <tr>
        <td><span class="xref">System.Int32</span></td>
        <td><span class="parametername">filters</span></td>
        <td><p>Integer, the dimensionality of the output space (i.e. the number of output filters in the convolution).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Tuple</span>&lt;<span class="xref">System.Int32</span>, <span class="xref">System.Int32</span>&gt;</td>
        <td><span class="parametername">kernel_size</span></td>
        <td><p>An integer or tuple/list of 2 integers, specifying the height and width of the 2D convolution window. Can be a single integer to specify the same value for all spatial dimensions.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Tuple</span>&lt;<span class="xref">System.Int32</span>, <span class="xref">System.Int32</span>&gt;</td>
        <td><span class="parametername">strides</span></td>
        <td><p>An integer or tuple/list of 2 integers, specifying the strides of the convolution along the height and width. Can be a single integer to specify the same value for all spatial dimensions. Specifying any stride value != 1 is incompatible with specifying any dilation_rate value != 1.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">padding</span></td>
        <td><p>one of &quot;valid&quot; or &quot;same&quot; (case-insensitive).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Tuple</span>&lt;<span class="xref">System.Int32</span>, <span class="xref">System.Int32</span>&gt;</td>
        <td><span class="parametername">output_padding</span></td>
        <td><p>An integer or tuple/list of 2 integers, specifying the amount of padding along the height and width of the output tensor. Can be a single integer to specify the same value for all spatial dimensions. The amount of output padding along a given dimension must be lower than the stride along that same dimension. If set to None (default), the output shape is inferred.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">data_format</span></td>
        <td><p>A string, one of &quot;channels_last&quot; or &quot;channels_first&quot;. The ordering of the dimensions in the inputs. &quot;channels_last&quot; corresponds to inputs with shape (batch, height, width, channels) while &quot;channels_first&quot; corresponds to inputs with shape (batch, channels, height, width). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be &quot;channels_last&quot;.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Tuple</span>&lt;<span class="xref">System.Int32</span>, <span class="xref">System.Int32</span>&gt;</td>
        <td><span class="parametername">dilation_rate</span></td>
        <td><p>an integer or tuple/list of 2 integers, specifying the dilation rate to use for dilated convolution. Can be a single integer to specify the same value for all spatial dimensions. Currently, specifying any dilation_rate value != 1 is incompatible with specifying any stride value != 1.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">activation</span></td>
        <td><p>Activation function to use (see activations). If you don't specify anything, no activation is applied (ie. &quot;linear&quot; activation: a(x) = x).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.Boolean</span></td>
        <td><span class="parametername">use_bias</span></td>
        <td><p>Boolean, whether the layer uses a bias vector.</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">kernel_initializer</span></td>
        <td><p>Initializer for the kernel weights matrix (see initializers).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">bias_initializer</span></td>
        <td><p>Initializer for the bias vector (see initializers).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">kernel_regularizer</span></td>
        <td><p>Regularizer function applied to the kernel weights matrix (see regularizer).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">bias_regularizer</span></td>
        <td><p>Regularizer function applied to the bias vector (see regularizer).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">activity_regularizer</span></td>
        <td><p>Regularizer function applied to the output of the layer (its &quot;activation&quot;). (see regularizer).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">kernel_constraint</span></td>
        <td><p>Constraint function applied to the kernel matrix (see constraints).</p>
</td>
      </tr>
      <tr>
        <td><span class="xref">System.String</span></td>
        <td><span class="parametername">bias_constraint</span></td>
        <td><p>Constraint function applied to the bias vector (see constraints).</p>
</td>
      </tr>
      <tr>
        <td><a class="xref" href="Keras.Shape.html">Shape</a></td>
        <td><span class="parametername">input_shape</span></td>
        <td><p>4D tensor with shape: (batch, channels, rows, cols) if data_format is &quot;channels_first&quot; or 4D tensor with shape: (batch, rows, cols, channels) if data_format is &quot;channels_last&quot;.</p>
</td>
      </tr>
    </tbody>
  </table>
  <h3 id="implements">Implements</h3>
  <div>
      <span class="xref">System.IDisposable</span>
  </div>
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